This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...

Image retrieval and texture classification are critical sub‐fields of computer vision, with applications spanning medical imaging, remote sensing and ecological monitoring. These areas focus on the ...

Content-Based Image Retrieval (CBIR) techniques underpin modern approaches to multimedia data management by enabling the automated identification and extraction of visual characteristics from digital ...

Image-sentence retrieval task aims to search images for given sentences and retrieve sentences from image queries. The current retrieval methods are all supervised methods that require a large number ...